Busting 4 Java Tuning Myths with Stefano Doni

Tuning the JVM GC to reduce garbage collection time will speed up application performance. If you agree with that statement then I encourage you to listen to this episode where I have Stefano Doni, CTO at Akamas, walk us through 4 Java Tuning Facts & Myths. He is going into details why even in 2021 with great improvements in the JVM it is still important to optimize the JVM specific to the environment, workload and application behavior. If you want some visuals try to catch his presentation from this years Performance Summit called “How AI optimization will debunk 4 long standing Java tuning myths”To follow up with Stefano check out their resources such as their tutorials on explore.akamas.io, check out their blog posts or videos on their new website akamas.io or follow them on twitter @akamaslabsLinks from the Show:Stefano on Linkedinhttps://www.linkedin.com/in/stefanodoni/YouTube: How AI optimization will debunk 4 long-standing Java tuning mythshttps://www.youtube.com/watch?v=9VvaxATyYsAAkamas Tutorialshttps://explore.akamas.io/Akamas websitehttps://www.akamas.io/Akamas on Twitterhttps://twitter.com/AkamasLabs

Om Podcasten

The brutal truth about digital performance engineering and operations.Andreas (aka Andi) Grabner and Brian Wilson are veterans of the digital performance world. Combined they have seen too many applications not scaling and performing up to expectations. With more rapid deployment models made possible through continuous delivery and a mentality shift sparked by DevOps they feel it’s time to share their stories. In each episode, they and their guests discuss different topics concerning performance, ranging from common performance problems for specific technology platforms to best practices in development, testing, deploying and monitoring software performance and user experience. Be prepared to learn a lot about metrics.Andi & Brian both work at Dynatrace, where they get to witness more real world customer performance issues than they can TPS report at.